Yet Another Computer Vision Index To Datasets (YACVID) - Details

The LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedure resulted in 945 images. The pixelwise labeled images are created by utilizing the eTRIMS categories and a simple depth order heuristic. Due to some label ambiguities the following class names are used as synonyms for corresponding eTRIMS categories: house (building); sideway, sidewalk (pavement); street (road); tree (vegetation). We split this dataset into 100 images for training and 845 images for testing.

We use the same format as used in the PASCAL database: pascallin.ecs.soton.ac.uk/challenges/VOC/voc2008/

To get the database please write an email to erik (dot) rodner (at) uni-jena (dot) de